d*****y
发帖数: 1365 | 1 We are seeking Quantitative Research Analysts who will work as Financial
Engineers, Data Scientists, Risk Analysts or Software Developers in our
Advanced Data Analytics Unit (ADAU) at Financial Industry Regulatory
Authority (FINRA).
ADAU is a newly formed unit at FINRA to leverage on data analytics to
effectively examine and conduct surveillance of market participants in
mainly Broker-Dealer space. ADAU staff will support the examination and
surveillance efforts by closely aligning with internal FINRA teams.
We will also build tools based on needs identified during our field work and
interaction with the rest of FINRA staff.
The atmosphere within ADAU is intended to be intellectual and collegial –
similar to a tech startup but with greater quality of life while working to
impact the common good. As a founding member of ADAU, your impact as an
experienced Quantitative Research Analyst will be immediate and self-evident
. To be successful, you need to be motivated to code, be creative,
have deep insights, and be interested in learning on the job.
Experimentation with new languages and tools is encouraged.
DUTIES
Serve as a quantitative research analyst working with the FINRA
staff in building sophisticated models, determining proper empirical
methodology, organizing data collection, writing unique programs, preparing
written reports, and summarizing the results of analytic studies in formal
and informal presentations.
Design and develop predictive models and risk analytics utilizing
data collected by the FINRA from its members.
Participate in examinations of broker-dealers, conducting
interviews of compliance professionals and quantitative/modeling experts at
the firms, designing document requests to elicit information about
registrant’s products and strategies and supporting the enforcement staff
in investigating and litigating cases arising out of exam referrals in the
above areas.
Work with the Business Units to understand and build business
requirements into models.
Work with Technology to help define data requirements and
appropriateness for use.
Provide senior level technical expertise for the design and conduct
of comprehensive, complicated financial data studies, surveys, reviews, and
research projects where the boundaries are extremely broad and difficult to
determine in advance.
Conduct research in areas such as the analysis of new financial
instruments and strategies, options, and derivates which involves the
application of financial engineering methodologies and employment of
financial theory and applied mathematics, as well as computation and the
practice of programming.
Develop state-of-the-art software tools to collect, and analyze
large volumes of structured and/or unstructured data.
Work with large volumes of financial data from different
instruments and sources for back-testing and validation of models,
algorithms, and strategies.
Develop and present authoritative reports based on the evaluation
and interpretation of studies in the assigned area of financial engineering.
REQUIREMENTS
EDUCATION:
Candidate must possess at least an undergraduate degree in: finance,
engineering, mathematics, statistics, computer science, actuarial science,
economics or related technical field. Preferred: Graduate degree in:
financial engineering, computational or mathematical finance, computer
science, statistics or related field.
EXPERIENCE:
Candidates are expected to have background in one or more of the following
areas listed below.
Knowledge and currently documented successful accomplishment in the
field of quantitative research and the specialized area of financial
engineering, data science, or risk analytics as it relates to the securities
industry.
Knowledge of predictive model development and oversight.
Knowledge of financial engineering to develop, maintain and/or
validate models used for forecasting, valuation, instrument and strategy
selection, portfolio construction, and risk management covering a wide range
of financial instruments, including equities, fixed income, currencies,
futures, commodities, and/or derivatives.
Strong background in machine learning, hypothesis testing,
regression analysis, statistics, or probability at the graduate school level
or higher, as well as experience creating predictive analytics on noisy
data.
Background in text analytics, news aggregation and natural language
processing.
The candidate must be able to successfully complete multiple
concurrent projects.
Strong knowledge of advanced statistical methods, Bayesian learning
techniques, pattern recognition and outlier detection algorithms, and
predictive modeling methods including decision trees and random forest
approaches.
Experience in utilizing sophisticated models and products for
managing risks in portfolio construction, trade decision, and execution and
hedging, including multi-factor models such as BARRA; risk management
metrics and methods such as VaR and stress testing
models, valuation and pricing, and model sensitivity and risk statistics. &#
61623; Deep understanding of key concepts of predictive / risk modeling,
market risk, credit risk, counterparty risk, liquidity risk, and operational
risk.
Proficiency in computer processes, methods, and languages such as C
/C++, Java, C#, Matlab, R, SQL, VBA, Perl, Python; familiarity with UNIX,
shell scripting, distributed/parallel computing, a scripting language such
as Python or Perl, fluency with regular expressions; or similar languages
and the state-of-the-art database techniques.
Demonstrated proficiency in a wide range of programmer’s tools (e.g. sed,
awk, xargs, google, stack overflow, etc.) Knowledge of kdb+ and Q are a plus
.
Experience in working with large volumes of financial data for
different instruments and sources to include back-testing models, algorithms
, and strategies for validation. Ability to data mine and develop models
built on large volumes of data collected by FINRA.
Advanced communication skills to convey complex and technical
information both orally and in writing. Expert level skill in presenting
technical findings in meetings and formal presentations.
Strong interpersonal skills to interact effectively with industry
representatives as well as with FINRA senior officials, supervisors, co-
workers, and the broader public.
OTHER INFORMATION:
Please send your resume directly to: Erozan Kurtas at Erozan.Kurtas@finra.
org | A*******s
发帖数: 3942 | 2 FINRA要求公民么？
and
【在 d*****y 的大作中提到】
: We are seeking Quantitative Research Analysts who will work as Financial
: Engineers, Data Scientists, Risk Analysts or Software Developers in our
: Advanced Data Analytics Unit (ADAU) at Financial Industry Regulatory
: Authority (FINRA).
: ADAU is a newly formed unit at FINRA to leverage on data analytics to
: effectively examine and conduct surveillance of market participants in
: mainly Broker-Dealer space. ADAU staff will support the examination and
: surveillance efforts by closely aligning with internal FINRA teams.
: We will also build tools based on needs identified during our field work and
: interaction with the rest of FINRA staff.
| d*****y
发帖数: 1365 | 3 绿卡肯定可以，H1不知道，你可以email问一下
【在 A*******s 的大作中提到】
: FINRA要求公民么？
:
: and
| d*****y
发帖数: 1365 | 4 绿卡肯定可以，H1不知道，你可以email问一下
【在 A*******s 的大作中提到】
: FINRA要求公民么？
:
: and
|
|
